ManufacturingConnecting machines, people and orders on the factory floor.
Most factories already have the data they need. It sits in machine controllers, paper job sheets, whiteboards and someone's spreadsheet, just not in one place when a decision is made.
We build software that brings it together: what is being made, how the machines are doing and whether the output meets spec, connected to the systems you already run.
What we build
Production tracking
See every order's progress, from release to dispatch.
- Work orders and job status on shop-floor tablets
- Output, scrap and downtime recorded as they happen
- OEE and throughput dashboards by line and shift
- Links to your ERP for orders, stock and costing
Predictive maintenance
Fix machines before they stop the line.
- Machine and sensor data collected over standard protocols such as OPC UA and MQTT
- Alerts when vibration, temperature or cycle times drift
- Maintenance schedules and history in one place
- Prediction models once there is enough history to trust them
Quality reporting
Catch defects early and prove compliance later.
- Digital inspection checklists with photos and measurements
- Non-conformance and corrective action tracking
- Batch and serial traceability from material to customer
- Reports ready for audits and customer requests
What we plan for
Old and new machines
Lines mix old controllers with new equipment. We collect data through gateways and standard protocols rather than replacing what works.
Factory network kept separate
Machines stay on their own network. Data leaves through a controlled gateway, and nothing on the floor is reachable from the internet.
Made for shifts
Screens are quick to use on the floor, and handovers between shifts are part of the design.
Traceable records
You can answer who made it, on which machine and from which batch, long after it shipped.
How the three Devs help
- We build it
Software development
- Shop-floor apps, dashboards and ERP integrations
- Data collection from machines and sensors
- AI models for maintenance and quality, where the data supports them
About software development →
- We grow it
Business development
- Turning an internal tool into a product other manufacturers can buy
- Go-to-market for industrial software and connected products
- Customer and distributor portals
About business development →
- We run it
DevOps
- Edge gateways and cloud, set up and kept up to date
- Network separation and access control between factory and cloud
- Monitoring of data feeds, so gaps are caught before reports go wrong
About DevOps →
Questions
Do we need new machines or sensors?
Not usually. We start with the data your machines already produce. Where something important isn't measured, we suggest the smallest sensor addition that fills the gap.
Does predictive maintenance need years of data?
No. We start with simple rules on the readings you have, such as alerts on drift or overheating. Prediction models come later, once there is enough history and failure records to make them reliable.
Can it work alongside our ERP?
Yes. The ERP stays the record for orders, stock and costs. Our software handles the shop floor and passes the results back.
Tell us where you are.
A person from our team will reply, usually within one working day, with a suggested first step.
Get in touch